China has a vast territory, and in order to solve the problem of accessibility of public services, innovative models of mobile public services have emerged. From mobile police stations and small medicine boxes in pastoral areas of northern Xinjiang, to circuit courts in remote mountainous areas, to mobile diagnosis and treatment stations and desks in urban communities, as well as government service express trains in urban streets and alleys, these mobile public services that carry people's livelihood concerns have long been powerful tools for the government to extend its service reach, ensure basic livelihoods, and promote social equity, effectively alleviating the last mile problem of public services. The Proposal of the Central Committee of the Communist Party of China on Formulating the 15th Five Year Plan for National Economic and Social Development clearly proposes to achieve a significant improvement in the level of equalization of basic public services during the 15th Five Year Plan period. The deepening promotion of digital government construction, especially the integration and application of digital intelligence technology, is driving the transformation of public services from relying on tangible carriers for "physical flow" to "digital intelligence flow" driven by data elements as the core. This transformation is not only an upgrade in technological tools, but also a systematic reshaping of public service concepts and supply models. The primary breakthrough in empowering digital intelligence lies in completing the logic of public services from "people looking for services" to "services looking for people", shifting the initiator of services from the user side to the governance side, and achieving a shift in the direction of "flow". The essence of the flow of public services in the traditional mode is the planned "flow" of service providers within a predetermined time and space range. The people must actively recognize their own needs and strive to adapt to the fixed cycle and mobile route of service provision, which is a typical logic of "people looking for services". Digital intelligence technology aggregates and analyzes global data to build a digital hub that continuously perceives social needs. It can penetrate the limitations of individual explicit expression and gain forward-looking insights into potential, concentrated, and evolving public service needs. This makes the initiation instructions for the "flow" of public services no longer solely based on administrative plans or historical experience, but more on the dynamic analysis and prediction of the demand graph for people's livelihoods by data models. As a result, the role of the government has shifted from a passive service provider to an active demand perceivers and responders who act before litigation. The "flow" of services has thus transformed into a process of "service finding people" that involves precise navigation through data intelligence and actively approaching the source of demand. Taking the "Grassland 110" in the Inner Mongolia border management area as an example, this characteristic policing model was initially established relying on patrol vehicles and horseback patrols, and later evolved into a "digital intelligent flow" prevention and control system that integrates digital platforms, intelligent analysis, and precise response. Herdsmen can send location, video, and other information to the command platform with just one click when they encounter an alarm or need help, enabling instant access and precise positioning. At the same time, "Grassland 110" also integrates party, government, military, police and civilian resources, actively extending police services, livelihood distribution and other services to the homes of herdsmen. In the future, how can digital intelligence better empower the healthy development of public services and achieve the goal of equal precision services? Firstly, we must adhere to the value orientation centered on the people. All technological applications should actively respond to the most pressing and practical interests of the public. In the process of promoting "service finding people", we pay attention to the combination of technological agility and humanistic inclusiveness, and ensure that the elderly, disabled and other groups have access to convenient public services through retaining offline channels and developing age appropriate applications. Secondly, adhere to the path of promoting holistic governance. Relying on top-level design to promote the deep integration of government data, business systems, and technology platforms, building an integrated public data platform and cross departmental collaboration rules, achieving cross level and cross system business linkage and data sharing, and fully transforming digital intelligence empowerment into governance efficiency. Once again, adhere to the inherent requirement of high-quality development. Improve unified standards and security protection systems, strengthen network security and privacy protection, strike a balance between stimulating data value and strictly adhering to security bottom lines, consolidate the foundation of data governance, and support the high-quality and sustainable development of public service systems. The evolution from "physical flow" to "digital and intelligent flow" clearly outlines the development trajectory of China's public service system in the digital age. This development aims to enhance the level of service equalization as a strategic goal, supported by the construction of a digital government, and continuously promote the intelligence and improvement of the public service ecosystem. Looking ahead to the future, with the continuous popularization and deepening of relevant practices, mobile public services empowered by digital intelligence will become more accessible, fair and inclusive, precise and efficient, and inject more momentum into promoting the modernization of the national governance system and governance capacity. (New Press) (Author: Liu Yinxi, Zhao Miao, Professor at the Zhou Enlai School of Government Management, Nankai University, and Lecturer at the School of Public Administration, Inner Mongolia University)